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README.md
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We tackle sequence classification problems by conducting relevance classification on [CLS] (extracting [CLS] if relevant).
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## Model variations
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There are
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| Model | Backbone | #params |
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| [PMR-base](https://huggingface.co/DAMO-NLP-SG/PMR-base) | [roberta-base](https://huggingface.co/roberta-base) | 125M |
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| [PMR-large](https://huggingface.co/DAMO-NLP-SG/PMR-large) | [roberta-large](https://huggingface.co/roberta-large) | 355M |
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| [PMR-xxlarge](https://huggingface.co/DAMO-NLP-SG/PMR-xxlarge) | [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) | 235M |
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| [mPMR-base](https://huggingface.co/DAMO-NLP-SG/mPMR-base) | [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) | 270M |
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| [mPMR-large](https://huggingface.co/DAMO-NLP-SG/mPMR-large) | [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) | 550M |
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## Intended uses & limitations
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We tackle sequence classification problems by conducting relevance classification on [CLS] (extracting [CLS] if relevant).
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## Model variations
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There are three versions of models released. The details are:
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| Model | Backbone | #params |
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|------------|-----------|----------|
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| [PMR-base](https://huggingface.co/DAMO-NLP-SG/PMR-base) | [roberta-base](https://huggingface.co/roberta-base) | 125M |
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| [PMR-large](https://huggingface.co/DAMO-NLP-SG/PMR-large) | [roberta-large](https://huggingface.co/roberta-large) | 355M |
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| [PMR-xxlarge](https://huggingface.co/DAMO-NLP-SG/PMR-xxlarge) | [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) | 235M |
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## Intended uses & limitations
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